Generated by Cython 3.0.0
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Click on a line that starts with a "+" to see the C code that Cython generated for it.
Raw output: clm.c
+0001: # cython: c_string_type=unicode
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0002: # cython: c_string_encoding=utf8
0003:
+0004: import ctypes
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+0005: from functools import singledispatch, partial
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+0006: import math
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+0007: import random
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+0008: import subprocess
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+0009: import tempfile
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+0010: import time
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+0011: import types
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0012: import cython
0013: from cython.cimports.cpython.mem import PyMem_Malloc, PyMem_Realloc, PyMem_Free
0014: from cython cimport view
+0015: import numpy as np
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0016: cimport numpy as np
+0017: import numpy.typing as npt
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0018: cimport pysndlib.cclm as cclm
0019: cimport pysndlib.csndlib as csndlib
+0020: from pysndlib.sndlib import Sample, Header
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+0021: import sys
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+0022: import os
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0023:
0024:
0025:
0026:
+0027: np.import_array()
__pyx_t_44 = __pyx_f_5numpy_import_array(); if (unlikely(__pyx_t_44 == ((int)-1))) __PYX_ERR(0, 27, __pyx_L1_error)
0028:
0029:
0030:
0031: # --------------- clm enums ---------------- #
+0032: cpdef enum Interp:
enum __pyx_t_8pysndlib_3clm_Interp {
__pyx_e_8pysndlib_3clm_NONE,
__pyx_e_8pysndlib_3clm_LINEAR,
__pyx_e_8pysndlib_3clm_SINUSOIDAL,
__pyx_e_8pysndlib_3clm_ALL_PASS,
__pyx_e_8pysndlib_3clm_LAGRANGE,
__pyx_e_8pysndlib_3clm_BEZIER,
__pyx_e_8pysndlib_3clm_HERMITE
};
0033: """
0034: various interpolation types
0035: """
0036: NONE, LINEAR,SINUSOIDAL, ALL_PASS, LAGRANGE, BEZIER, HERMITE
0037:
+0038: cpdef enum Window:
enum __pyx_t_8pysndlib_3clm_Window {
__pyx_e_8pysndlib_3clm_RECTANGULAR,
__pyx_e_8pysndlib_3clm_HANN,
__pyx_e_8pysndlib_3clm_WELCH,
__pyx_e_8pysndlib_3clm_PARZEN,
__pyx_e_8pysndlib_3clm_BARTLETT,
__pyx_e_8pysndlib_3clm_HAMMING,
__pyx_e_8pysndlib_3clm_BLACKMAN2,
__pyx_e_8pysndlib_3clm_BLACKMAN3,
__pyx_e_8pysndlib_3clm_BLACKMAN4,
__pyx_e_8pysndlib_3clm_EXPONENTIAL,
__pyx_e_8pysndlib_3clm_RIEMANN,
__pyx_e_8pysndlib_3clm_KAISER,
__pyx_e_8pysndlib_3clm_CAUCHY,
__pyx_e_8pysndlib_3clm_POISSON,
__pyx_e_8pysndlib_3clm_GAUSSIAN,
__pyx_e_8pysndlib_3clm_TUKEY,
__pyx_e_8pysndlib_3clm_DOLPH_CHEBYSHEV,
__pyx_e_8pysndlib_3clm_HANN_POISSON,
__pyx_e_8pysndlib_3clm_CONNES,
__pyx_e_8pysndlib_3clm_SAMARAKI,
__pyx_e_8pysndlib_3clm_ULTRASPHERICAL,
__pyx_e_8pysndlib_3clm_BARTLETT_HANN,
__pyx_e_8pysndlib_3clm_BOHMAN,
__pyx_e_8pysndlib_3clm_FLAT_TOP,
__pyx_e_8pysndlib_3clm_BLACKMAN5,
__pyx_e_8pysndlib_3clm_BLACKMAN6,
__pyx_e_8pysndlib_3clm_BLACKMAN7,
__pyx_e_8pysndlib_3clm_BLACKMAN8,
__pyx_e_8pysndlib_3clm_BLACKMAN9,
__pyx_e_8pysndlib_3clm_BLACKMAN10,
__pyx_e_8pysndlib_3clm_RV2,
__pyx_e_8pysndlib_3clm_RV3,
__pyx_e_8pysndlib_3clm_RV4,
__pyx_e_8pysndlib_3clm_MLT_SINE,
__pyx_e_8pysndlib_3clm_PAPOULIS,
__pyx_e_8pysndlib_3clm_DPSS,
__pyx_e_8pysndlib_3clm_SINC
};
0039: """
0040: many useful windows
0041: """
0042: RECTANGULAR, HANN, WELCH, PARZEN, BARTLETT, HAMMING, BLACKMAN2, BLACKMAN3, BLACKMAN4, EXPONENTIAL, RIEMANN, KAISER, CAUCHY, POISSON, GAUSSIAN, TUKEY, DOLPH_CHEBYSHEV, HANN_POISSON, CONNES, SAMARAKI, ULTRASPHERICAL, BARTLETT_HANN, BOHMAN, FLAT_TOP, BLACKMAN5, BLACKMAN6, BLACKMAN7, BLACKMAN8, BLACKMAN9, BLACKMAN10, RV2, RV3, RV4, MLT_SINE, PAPOULIS, DPSS, SINC,
0043:
+0044: cpdef enum Spectrum:
enum __pyx_t_8pysndlib_3clm_Spectrum {
__pyx_e_8pysndlib_3clm_IN_DB,
__pyx_e_8pysndlib_3clm_NORMALIZED,
__pyx_e_8pysndlib_3clm_RAW
};
0045: """
0046: types of normalizations when using the spectrum function. The results are in dB if IN_DB, or linear and normalized to 1.0 NORMALIZED, or linear unnormalized RAW
0047: """
0048: IN_DB, NORMALIZED, RAW
0049:
+0050: cpdef enum Polynomial:
enum __pyx_t_8pysndlib_3clm_Polynomial {
__pyx_e_8pysndlib_3clm_EITHER_KIND,
__pyx_e_8pysndlib_3clm_FIRST_KIND,
__pyx_e_8pysndlib_3clm_SECOND_KIND,
__pyx_e_8pysndlib_3clm_BOTH_KINDS
};
0051: """
0052: used for polynomial based gens
0053: """
0054: EITHER_KIND, FIRST_KIND, SECOND_KIND, BOTH_KINDS
0055:
0056:
0057:
0058: # --------------- function types for ctypes ---------------- #
+0059: INPUTCALLBACK = ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_void_p, ctypes.c_int)
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+0060: EDITCALLBACK = ctypes.CFUNCTYPE(ctypes.c_int, ctypes.c_void_p)
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0157:
0158:
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0164: # todo add mus_set_xcoeff and mus_set_ycoeff
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0167:
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0169: """
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/* … */
struct __pyx_opt_args_8pysndlib_3clm_make_oscil_bank {
int __pyx_n;
PyObject *amps;
PyObject *stable;
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1781: """
1782: return a new oscil_bank generator. (freqs in radians)
1783:
1784: :param freqs: list or np.ndarray of frequencies in radians
1785: :param phases: list or np.ndarray of initial phases in radians
1786: :param stable: if it is true, oscil_bank can assume that the frequency. this is not operative
1787: :return: oscil_bank gen
1788: :rtype: mus_any
1789:
1790: """
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/* … */
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1894: """
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1904: """
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1948:
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1950:
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1977:
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1979:
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2003:
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2008:
+2009: cdef double [:] wave_view = wave
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2010:
2011:
2012: #print(frequency, initial_phase, wave, size, interp_type)
+2013: gen = mus_any.from_ptr(cclm.mus_make_table_lookup(frequency, initial_phase, &wave_view[0], size, interp_type))
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2018: """
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2020:
2021: :param gen: table_lookup gen
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2070: """
2071: return a new polynomial-based waveshaping generator. make_polywave(440.0, partials=[1.0,1.0]) is
2072: the same \in effect as make_oscil.
2073:
2074: :param frequency: polywave frequency
2075: :param partials: a list of harmonic numbers and their associated amplitudes
2076: :param kind: Chebyshev polynomial choice
2077: :param xcoeffs: tn for tu-sum case
2078: :param ycoeffs: un for tu-sum case
2079: :return: polywave gen
2080: :rtype: mus_any
2081: """
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2113:
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2214:
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2218: """
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2231: """
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2238:
2239: # ---------------- square-wave ---------------- #
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2815:
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2817: """
2818: one zero filter of input.
2819:
2820: :param gen: one_zero gen
2821: :param insig: input
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2827: """
2828: returns True if gen is a one_zero.
2829:
2830: :param gen: gen
2831: :rtype: bool
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2834:
2835: # make def for *args. are there other ways
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2837: """
2838: return a new two_pole filter: y(n) = a0 x(n) - b1 y(n-1) - b2 y(n-2).
2839:
2840: :param frequency: Center frequency \in Hz
2841: :param radius: Radius of filter. Refers to the unit circle, so it should be between 0.0 and (less than) 1.0.
2842: :param kwargs: If frequency and radius not provided, these should be keyword arguments 'a0', 'b1', 'b2'
2843: :return: two_pole gen
2844: :rtype: mus_any
2845: """
2846:
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+2849: return mus_any.from_ptr(cclm.mus_make_two_pole(kwargs.get('a0'), kwargs.get('b1'), kwargs.get('b2')))
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2850: else:
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2853: else:
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/* … */
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2856: else:
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2858:
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2860: """
2861: two pole filter of input.
2862:
2863: :param gen: two_pole gen
2864: :param insig: input
2865: :rtype: float
2866:
2867: """
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2869:
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2871: """
2872: returns True if gen is a two_pole.
2873:
2874: :param gen: gen
2875: :rtype: bool
2876: """
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2878:
2879: # make def for *args. are there other ways
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2881: """
2882: return a new two_zero filter: y(n) = a0 x(n) + a1 x(n-1) + a2 x(n-2).
2883:
2884: :param frequency: Center frequency \in Hz
2885: :param radius: Radius of filter. Refers to the unit circle, so it should be between 0.0 and (less than) 1.0.
2886: :param kwargs: If frequency and radius not provided, these should be keyword arguments 'a0', 'a1', 'a2'
2887: :return: two_zero gen
2888: :rtype: mus_any
2889: """
2890:
+2891: if kwargs:
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+2892: if 'a0' in kwargs and 'a1' in kwargs and 'a1' in kwargs:
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+2893: return mus_any.from_ptr(cclm.mus_make_two_zero(kwargs.get('a0'), kwargs.get('a1'), kwargs.get('a2')))
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2894: else:
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2994:
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2996: """
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3403: """
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3485:
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3492:
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3605:
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/* … */
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3702:
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3705: """
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3720:
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/* … */
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4349: expansion: Optional[float]=1.0,
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4357:
4358: """
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4376:
4377: """
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4416: """
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4453: function; if it returns True, the default analysis code is also called. 'edit', if given, takes 1 arg,
4454: the generator; if it returns True, the default edit code is run. 'synthesize' is a function of 1 arg,
4455: the generator; it is called to get the current vocoder output.
4456:
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4458: :param fft_size: fft size used
4459: :param overlap: how many analysis stages overlap
4460: :param interp: samples between fft
4461: :param pitch: pitch scaling ratio
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4463: :param edit: if used, overrides default. functions of one argument, the phase_vocoder mus_any. change amplitudes and phases
4464: :param synthesize: if used, overrides default. unctions of one argument, the phase_vocoder mus_any.
4465: :return: phase_vocoder gen
4466:
4467: """
4468:
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4470: cdef cclm.edit_cb cy_edit_f_ptr
4471: cdef cclm.analyze_cb cy_analyze_f_ptr
4472: cdef cclm.synthesize_cb cy_synthesize_f_ptr
4473:
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4731:
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4771: else:
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4774:
4775: # todo: what if revout is not an iterable? while possible not going to deal with it right now :)
+4776: elif is_list_or_ndarray(output):
__pyx_t_3 = __pyx_f_8pysndlib_3clm_is_list_or_ndarray(__pyx_v_output, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4776, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_1 < 0))) __PYX_ERR(0, 4776, __pyx_L1_error) __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (likely(__pyx_t_1)) { /* … */ }
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__pyx_t_1 = (__pyx_v_reverb_channels == Py_None);
if (__pyx_t_1) {
/* … */
}
+4778: reverb_channels = 0
__Pyx_INCREF(__pyx_int_0); __Pyx_DECREF_SET(__pyx_v_reverb_channels, __pyx_int_0);
4779:
+4780: res = mus_any.from_ptr(cclm.mus_make_locsig(degree, distance, reverb, channels, NULL, reverb_channels, NULL, interp_type))
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+4781: cclm.mus_locsig_set_detour(res._ptr, <cclm.detour_cb>locsig_detour_callback_func)
mus_locsig_set_detour(__pyx_v_res->_ptr, ((detour_cb)__pyx_f_8pysndlib_3clm_locsig_detour_callback_func));
4782:
+4783: return res
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4784:
4785: else:
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4787:
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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4789: """
4790: locsig 'gen' channel 'chan' scaler.
4791:
4792: :param gen: locsig gen
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4794: :param val: sample value
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4796: :rtype: float
4797: """
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4893:
4894:
4895: #########################################
4896: # basic file reading/writing to/from nympy arrays
4897: # note all of this assumes numpy dtype is np.double
4898: # also assumes shape is (chan, length)
4899: # a mono file that is 8000 samples long should
4900: # be a numpy array created with something like
4901: # arr = np.zeroes((1,8000), dtype=np.double)
4902: # librosa follows this convention
4903: # todo : look at allowing something like np.zeroes((8000), dtype=np.double)
4904: # to just be treated as mono sound buffer
4905: # the python soundfile library does this differently
4906: # and would use
4907: # arr = np.zeros((8000,1), dtype=np.double))
4908: # this seems less intuitive to me
4909: # very issue to translate with simple np.transpose()
4910:
4911:
4912: # cpdef sndinfo(filename):
4913: # """returns a dictionary of info about a sound file including write date (data), sample rate (srate),
4914: # channels (chans), length in samples (samples), length in second (length), comment (comment), and loop information (loopinfo)"""
4915: # date = csndlib.mus_sound_write_date(filename)
4916: # srate = csndlib.mus_sound_srate(filename)
4917: # chans = csndlib.mus_sound_chans(filename)
4918: # samples = csndlib.mus_sound_samples(filename)
4919: # comment = csndlib.mus_sound_comment(filename)
4920: # length = samples / (chans * srate)
4921: #
4922: # header_type = header(mus_sound_header_type(filename))
4923: # sample_type = sample(mus_sound_sample_type(filename))
4924: #
4925: # loop_info = mus_sound_loop_info(filename)
4926: # if loop_info:
4927: # loop_modes = [loop_info[6], loop_info[7]]
4928: # loop_starts = [loop_info[0], loop_info[2]]
4929: # loop_ends = [loop_info[1], loop_info[3]]
4930: # base_note = loop_info[4]
4931: # base_detune = loop_info[5]
4932: #
4933: # loop_info = {'sustain_start' : loop_starts[0], 'sustain_end' : loop_ends[0],
4934: # 'release_start' : loop_starts[2], 'release_end' : loop_ends[1],
4935: # 'base_note' : base_note, 'base_detune' : base_detune,
4936: # 'sustain_mode' : loop_modes[0], 'release_mode' : loop_modes[1]}
4937: #
4938: # info = {'date' : time.localtime(date), 'srate' : srate, 'chans' : chans, 'samples' : samples,
4939: # 'comment' : comment, 'length' : length, 'header_type' : header_type, 'sample_type' : sample_type,
4940: # 'loop_info' : loop_info}
4941: # return info
4942:
4943: # def sound_loop_info(filename):
4944: # """returns a dictionary of info about a sound file including write date (data), sample rate (srate),
4945: # channels (chans), length in samples (samples), length in second (length), comment (comment), and loop information (loopinfo)"""
4946: #
4947: # loop_info = sndlib.mus_sound_loop_info(filename)
4948: # if loop_info:
4949: # loop_modes = [loop_info[6], loop_info[7]]
4950: # loop_starts = [loop_info[0], loop_info[2]]
4951: # loop_ends = [loop_info[1], loop_info[3]]
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4953: # base_detune = loop_info[5]
4954: #
4955: # loop_info = {'sustain_start' : loop_starts[0], 'sustain_end' : loop_ends[0],
4956: # 'release_start' : loop_starts[2], 'release_end' : loop_ends[1],
4957: # 'base_note' : base_note, 'base_detune' : base_detune,
4958: # 'sustain_mode' : loop_modes[0], 'release_mode' : loop_modes[1]}
4959: # return info
4960: #
4961: # cpdef np.ndarray file2array(filename: str, channel: Optional[int]=0, beg: Optional[int]=None, dur: Optional[int]=None):
4962: # """
4963: # return an ndarray with samples from file
4964: # """
4965: # length = dur or csndlib.mus_sound_framples(filename)
4966: # chans = csndlib.mus_sound_chans(filename)
4967: # srate = csndlib.mus_sound_srate(filename)
4968: # bg = beg or 0
4969: # out = np.zeros(length, dtype=np.double)
4970: #
4971: # cdef double [:] out_view = None
4972: # out_view = out
4973: #
4974: # csndlib.mus_file_to_array(filename,channel, bg, length, &out_view[0])
4975: # return out
4976: #
4977: # def channel2array(filename: str, channel: Optional[int]=0, beg: Optional[int]=None, dur: Optional[int]=None):
4978: # length = dur or mus_sound_framples(filename)
4979: # srate = mus_sound_srate(filename)
4980: # bg = beg or 0
4981: # out = np.zeros((1, length), dtype=np.double)
4982: # mus_file_to_array(filename,channel, bg, length, out[0].ctypes.data_as(ctypes.pointer(ctypes.c_double)))
4983: # return out
4984: #
4985: # def calc_length(start, dur):
4986: # st = seconds2samples(start)
4987: # nd = seconds2samples(start+dur)
4988: # return st, nd
4989: #
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